Data is the new oil, the oil that goes into the LLM and AI engines. But, just as crude oil needs to be refined for specific use cases and engine types—into gasoline, diesel, kerosene, etc.—the data too needs to be refined for your LLM and AI engines. The relevancy of the data you feed your LLM and AI engines determines the outcome from your models. If you are building your LLM and AI model, should you refine your own data? Do engine manufacturers refine their own crude oil? The answer is twofold: 1. If you have the capital to build your refinery, go ahead and build one for yourself. 2. If you prefer to leverage your funds for developing your LLM and AI models, training them efficiently, and focusing on product, brand, and positioning, then you should leverage existing data refineries instead of building one yourself. It’s not just cost-efficient; it’s also more scalable and flexible. This is where SaaSStory.ai comes in. We believe in two things: 1. Every SaaS business is a story in the making, and we want to turn yours into a growth story. 2. Most SaaS businesses will need an LLM and AI model, and we are the refinery you can depend on to feed refined data into your LLM and AI models. With SaaSStory.ai, you don’t have to build your own data refinery. We will do what we know best so that you can focus on training your LLM/AI models and building your product, brand, and positioning. If you are a SaaS business, we must talk. It will be worth a chat.